Keyphrases
- dimensionality reduction
- high dimensional data
- low dimensional
- high dimensional
- principal component analysis
- data points
- data representation
- feature space
- feature selection
- structure preserving
- pattern recognition
- linear dimensionality reduction
- dimensionality reduction methods
- random projections
- nonlinear dimensionality reduction
- feature extraction
- diffusion maps
- input space
- manifold learning
- preprocessing step
- pattern recognition and machine learning
- linear discriminant analysis
- euclidean distance
- dimension reduction
- high dimensionality
- lower dimensional
- linear projection
- neural network
- data sets
- sparse representation
- kernel learning
- kernel pca
- text categorization
- locally linear embedding
- active learning
- pairwise
- artificial intelligence
- genetic algorithm